Diagnostic Technique of Abnormalities in Ball Bearings with an Ultrasonic Method
نویسنده
چکیده
The sensitive and quantitative measurement method will be important to evaluate the lubrication condition and to predict the remaining bearing life-time. Observations of the size and number of damage or wear particle, and the fluctuation of the ball load are useful for the quantitatively evaluation of operation abnormalities in a ball bearing. The vibration and AE (Acoustic Emission) method are usually used as the effective diagnostic technique. However, it is difficult to detect those items individually by these methods. Then, the ultrasonic technique was attempted to use as a semi-quantitative measuring method for sensing these quantities. Ultrasonic wave pulses are entered into a bearing housing from an ultrasonic probe attached to the outside of the housing. Those pulses are partially reflected from the interface between the housing and the outer ring of the bearing. Because of the different acoustic impedance between the solid-to-solid contact and the contact with an intervening gas or liquid layer, the height of the reflected echo depends on the real contact area or on the local contact pressure at the interface. In a normal condition, the height of the filtered echo pulses produces smooth, nearly sinusoidal peaks corresponding to passages of the balls. Semi-quantitative evaluation of abnormality becomes possible on the basis of the observation of magnitude and frequency of the echo height fluctuation. Diagnosis of bearing abnormality was performed as a standard of evaluation in size, fluctuation velocity and mode of echo height fluctuation. Then algorithms for the judgment of those abnormalities were added in diagnostic software, and abnormal width or fluctuation rate of ball support load were evaluated semiautomatically. As a result, the measurement of model indentation with 0.3mm width added to inner ring and the quantitative evaluation of growth of an indentation were enabled.
منابع مشابه
Investigating the Dynamics of a Ball-Spring Autobalancer in a Rotor with Non-Linear Bearings
Although the traditional automatic ball balancer (ABB) has numerous advantages, it has two major deficiencies, i.e., it has a limited balance stable region and it increases the vibration amplitude of the rotor at transient state. These deficiencies limit the applicability of ABBs. In this regard, a new type of ABB called “the Ball-spring autobalancer” has been proposed to resolve the mentioned ...
متن کاملDynamic Analysis of a Rotor Supported on Ball Bearings with Waviness and Centralizing Springs and Squeeze Film Dampers
Squeeze film dampers (SFDs) are often used in machines with high rotational speed to reduce non-periodic behavior by creating external damping. There are some structural parameters which are of great importance in designing these systems, such as oil film thickness and inner race mass of SFD. Moreover, there is a crucial parameter associated with manufacturing process, under the title of wavine...
متن کاملPnm-1: Applications of Hysterosonography for The Detection of Intracavitary Uterine Abnormalities
Hysterosonography (SHG) is a new noninvasive technique that involves the slow infusion of sterile saline solution into the uterus during ultrasound imaging. Expansion of endometrial cavity by SHG allows optimal visualization and plays an important role in the evaluation of abnormalities related to the uterus. The most common indications for hysterosonography are: abnormal uterine bleeding both ...
متن کاملMaintenance Improvement of Ball Bearings For Industrial Applications
In this research, the life expectancy of ball bearings in industrial applications is estimated based on known parameters. The overall mathematical calculation of such behavior is based on the theory of Lundberg and Palmgren. The proposed life estimation equation however lacks certain points to make it qualified as universal. A firm conclusion therefore could not be obtained on the basis of this...
متن کاملUltrasonic acoustic health monitoring of ball bearings using neural network pattern classification of power spectral density
This thesis presents a generic passive non-contact based acoustic health monitoring approach using ultrasonic acoustic emissions (UAE) to facilitate classification of bearing health via neural networks. This generic approach is applied to classifying the operating condition of conventional ball bearings. The acoustic emission signals used in this study are in the ultrasonic range (20-120 kHz), ...
متن کامل